Triple

T16219529
Position Surface form Disambiguated ID Type / Status
Subject Annemarie Schmidt E393684 entity
Predicate hasGivenName P17 FINISHED
Object Annemarie E797206 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Annemarie | Statement: [Annemarie Schmidt, hasGivenName, Annemarie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annemarie
Context triple: [Annemarie Schmidt, hasGivenName, Annemarie]
  • A. Annemarie chosen
    Annemarie is a feminine given name of German origin, often used in German-speaking and other European countries.
  • B. Juliane
    Juliane is a feminine given name, commonly used in various European languages, that is related to and often considered a variant of the name Juliana or Julie.
  • C. Betsie
    Betsie is the commonly used nickname of Betsie Verwoerd, the wife of former South African Prime Minister Hendrik Verwoerd.
  • D. Klara
    Klara is the given first name of Hannelore Kohl, the late wife of former German Chancellor Helmut Kohl.
  • E. Annemarie Schön
    Annemarie Schön was the wife of renowned German football coach Helmut Schön.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fabf708190a624c1ed8ce48b0a completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007987cd881908ebc01141028c0a5 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.